arXiv:2605.05726v2 Announce Type: replace
Abstract: As LLM agents are increasingly deployed with large libraries of reusable skills, selecting the right skill for a user request has become a critical...
By Hongcheol Cho, Ryangkyung Kang, Youngeun Kim
arXiv:2608.28433v2 Announce Type: replace
Abstract: Proof assistants such as Lean 4 promise the paradigm of formally verified mathematics, but large-scale formalization projects have faced major barr...
By Shuze Chen, Kunal Marwaha, Xiaoyang Lu, Henry Yuen, Tianyi Peng
arXiv:2608.25937v2 Announce Type: replace
Abstract: Multi-agent systems (MAS) sometimes already have the potential to answer correctly, but still report a wrong answer. Explaining this outcome is dif...
By Jia-Hao Ji, Sijie Li, Jiabei Cheng, Zixi She, Jin-Tai Yu, Zhiyuan Yuan
arXiv:2608.25920v2 Announce Type: replace
Abstract: As large language model (LLM)-based multi-agent systems (MASs) are increasingly applied to long-horizon complex tasks, their reliability has emerge...
By Zhongwen Luan, Xiaoyu Zhang, Ming Hu, Yue Yang, Jiongchi Yu, Xiaohong Chen
arXiv:2608.30727v1 Announce Type: cross
Abstract: Small-object detection under long-tailed data distributions is a fundamental yet challenging problem in multimedia. Railway Foreign Object Detection...
By Quan Hao, Ziyang Tao, Chenxi Zhang, Yudong Wang, Rui Shi, Liguo Zhang
arXiv:2608.30709v1 Announce Type: cross
Abstract: Railway foreign object detection (RFOD) is critical to safe railway operation, yet scarce real positive samples incompletely represent task-relevant...
By Quan Hao, Chenxi Zhang, Ziyang Tao, Yuyuan Zhou, Yudong Wang, Rui Shi, Lechuan Xu, Changhao Liu, Liguo Zhang
arXiv:2608.30429v1 Announce Type: new
Abstract: LLM-based agent systems increasingly adopt skill-based architectures to reduce repetitive reasoning costs and improve stable, efficient task execution....
By Doyun Kim, Chanwoo Kim, Sugyeong Eo, Yeo-Chan Yoon, Chanjun Park
arXiv:2608.30362v1 Announce Type: new
Abstract: As LLM agents take real-world actions through tools, indirect prompt injection (IPI) has emerged as a serious threat. The standard metric, Attack Succe...
By Yunseok Lee, Yunji Kim, Woojin Lee
arXiv:2608.24888v2 Announce Type: replace
Abstract: Agents that act on a user's behalf must plan differently for different users, and increasingly do so from some structured representation of user co...
By Chirag Shah
arXiv:2603.08814v2 Announce Type: replace-cross
Abstract: Long-horizon task planning for heterogeneous multi-robot systems is essential for deploying collaborative teams in real-world environments; y...
By Piyush Gupta, Sangjae Bae, Jiachen Li, David Isele
arXiv:2608.30322v1 Announce Type: new
Abstract: Professional agent tasks often depend on conventions that are absent from public corpora, yet benchmarks rarely control whether an agent has access to...
By Hanlin Tian, Minhao Li, Yu Mi, Sihan Zhu, Zhao Yang, Yuxiang Wang, Hongquan Zhu, Qiufei Hu
arXiv:2608.30192v1 Announce Type: new
Abstract: Traditional finance relies on experts to hand-craft factors through a principled process grounded in economic rationale. Recent LLM-based multi-agent s...
By Hyeonjin Kim, Minseok Kim, Seunghyeon Jung, Sujin Pyo, Huisu Jang, Woojin Lee
arXiv:2608.30091v1 Announce Type: new
Abstract: Modern agent frameworks compose planners, tool agents, remote services, and shared specialists into runtime delegation graphs, but their revocation API...
By Lifei Liu, Haoran Yu, Xiaochong Jiang
arXiv:2608.29028v1 Announce Type: new
Abstract: Multi-agent LLM systems often coordinate by compressing an upstream interaction into a handoff artifact that downstream agents treat as shared state. W...
By Yian Wang, Agam Goyal, Eshwar Chandrasekharan, Hari Sundaram
arXiv:2608.28990v1 Announce Type: new
Abstract: Protein co-abundance clusters preserved across tissues can reveal shared disease mechanisms and candidate therapeutic targets, particularly when protei...
By Runyu Guan, Dehao Wu, Qiqi Xie, Yang Li, Haohan Wang
arXiv:2608.28978v1 Announce Type: new
Abstract: Knowledge graphs have been proposed as a structured alternative to flat retrieval-augmented generation for long-term agent memory, on the assumption th...
By Theo Rusu, Sourena Khanzadeh, Manar Alalfi
arXiv:2608.28977v1 Announce Type: new
Abstract: Several works have investigated the influence of graph topology on cooperation among artificial agents, while the majority of the literature has focuse...
By Seongho Son, Stephen Hailes, Mirco Musolesi
arXiv:2402.03741v4 Announce Type: replace-cross
Abstract: Recent advancements in multi-agent reinforcement learning (MARL) have opened up vast application prospects, such as swarm control of drones,...
By Oubo Ma, Yuwen Pu, Linkang Du, Yang Dai, Ruo Wang, Xiaolei Liu, Yingcai Wu, Shouling Ji
arXiv:2608.28944v1 Announce Type: new
Abstract: Credit risk analysis in financial institutions traditionally requires analysts to manually write SQL queries, run statistical computations, and build v...
By Vennise Ho, Kristian Diana, Sandy Mourad, Milena Pilipovic, Vineel Nagisetty, Hossein Hajimirsadeghi
arXiv:2607.02975v2 Announce Type: replace
Abstract: Most agent benchmarks put facts, tools and permissions behind one interface. Real organizations spread them across people. Incognita asks what happ...
By Dan C. Hsu, Luke Lu